Source code for geoh5py.data.integer_data

# ''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''
#  Copyright (c) 2025 Mira Geoscience Ltd.                                     '
#                                                                              '
#  This file is part of geoh5py.                                               '
#                                                                              '
#  geoh5py is free software: you can redistribute it and/or modify             '
#  it under the terms of the GNU Lesser General Public License as published by '
#  the Free Software Foundation, either version 3 of the License, or           '
#  (at your option) any later version.                                         '
#                                                                              '
#  geoh5py is distributed in the hope that it will be useful,                  '
#  but WITHOUT ANY WARRANTY; without even the implied warranty of              '
#  MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the               '
#  GNU Lesser General Public License for more details.                         '
#                                                                              '
#  You should have received a copy of the GNU Lesser General Public License    '
#  along with geoh5py.  If not, see <https://www.gnu.org/licenses/>.           '
# ''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''


from __future__ import annotations

import numpy as np

from ..shared import INTEGER_NDV
from .data import PrimitiveTypeEnum
from .numeric_data import NumericData


[docs] class IntegerData(NumericData):
[docs] def format_type(self, values: np.ndarray) -> np.ndarray: """ Check if the type of values is valid and coerse to type int32. :param values: numpy array to modify. :return: the formatted values. """ if np.any(np.modf(values)[0] != 0): raise TypeError("Values cannot have decimal points.") return values.astype(np.int32)
@property def formatted_values(self): values = self.ndv_values if values is None: return values return np.round(values).astype(np.int32)
[docs] @classmethod def primitive_type(cls) -> PrimitiveTypeEnum: return PrimitiveTypeEnum.INTEGER
@property def nan_value(self): """ Nan-Data-Value """ return self.ndv @property def ndv(self) -> int: """ No-Data-Value """ return INTEGER_NDV